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ORCIDJad Kabbara
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2020 – today
- 2024
[c16]Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami:
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models. ACL (1) 2024: 315-334- [c15]Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex Pentland, Yoon Kim, Deb Roy, Jad Kabbara:
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. ACL (1) 2024: 7194-7219 - [c14]Hope Schroeder, Deb Roy, Jad Kabbara:
Fora: A corpus and framework for the study of facilitated dialogue. ACL (1) 2024: 13985-14001 - [c13]Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara:
On the Relationship between Truth and Political Bias in Language Models. EMNLP 2024: 9004-9018 - [c12]Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Alex Pentland, Jad Kabbara:
Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? ICML 2024 - [c11]Hang Jiang, Xiajie Zhang, Xubo Cao, Cynthia Breazeal, Deb Roy, Jad Kabbara:
PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits. NAACL-HLT (Findings) 2024: 3605-3627 - [i11]Hang Jiang, Xiajie Zhang, Robert Mahari, Daniel Kessler, Eric Ma, Tal August, Irene Li, Alex 'Sandy' Pentland, Yoon Kim, Jad Kabbara, Deb Roy:
Leveraging Large Language Models for Learning Complex Legal Concepts through Storytelling. CoRR abs/2402.17019 (2024) - [i10]Shayne Longpre, Robert Mahari, Naana Obeng-Marnu, William Brannon, Tobin South, Katy Ilonka Gero, Sandy Pentland, Jad Kabbara:
Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? CoRR abs/2404.12691 (2024) - [i9]Abhishek Kumar, Robert Morabito, Sanzhar Umbet, Jad Kabbara, Ali Emami:
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models. CoRR abs/2405.16282 (2024) - [i8]Elinor Poole-Dayan, Deb Roy, Jad Kabbara:
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users. CoRR abs/2406.17737 (2024) - [i7]Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland:
Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR abs/2407.14933 (2024) - [i6]Suyash Fulay, William Brannon, Shrestha Mohanty, Cassandra Overney, Elinor Poole-Dayan, Deb Roy, Jad Kabbara:
On the Relationship between Truth and Political Bias in Language Models. CoRR abs/2409.05283 (2024) - 2023
- [c10]Robert Morabito, Jad Kabbara, Ali Emami:
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models. ACL (Findings) 2023: 4581-4597 - [c9]Jad Kabbara, Jackie Chi Kit Cheung:
Investigating the Effect of Pre-finetuning BERT Models on NLI Involving Presuppositions. EMNLP (Findings) 2023: 10482-10494 - [i5]Hang Jiang, Xiajie Zhang, Xubo Cao, Jad Kabbara:
PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences. CoRR abs/2305.02547 (2023) - [i4]Robert Morabito, Jad Kabbara, Ali Emami:
Debiasing should be Good and Bad: Measuring the Consistency of Debiasing Techniques in Language Models. CoRR abs/2305.14307 (2023) - [i3]William Brannon, Suyash Fulay, Hang Jiang, Wonjune Kang, Brandon Roy, Jad Kabbara, Deb Roy:
ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings. CoRR abs/2305.14321 (2023) - [i2]Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla, Xinyi Wu, Enrico Shippole, Kurt D. Bollacker, Tongshuang Wu, Luis Villa, Sandy Pentland, Deb Roy, Sara Hooker:
The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing & Attribution in AI. CoRR abs/2310.16787 (2023) - 2022
- [c8]Jad Kabbara, Jackie Chi Kit Cheung:
Investigating the Performance of Transformer-Based NLI Models on Presuppositional Inferences. COLING 2022: 779-785 - 2021
- [c7]Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas:
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop. ACL (student) 2021 - [c6]Jad Kabbara, Jackie Chi Kit Cheung:
Post-Editing Extractive Summaries by Definiteness Prediction. EMNLP (Findings) 2021: 3682-3692 - [e1]Jad Kabbara, Haitao Lin, Amandalynne Paullada, Jannis Vamvas:
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, ACL 2021, Online, JUli 5-10, 2021. Association for Computational Linguistics 2021, ISBN 978-1-952148-03-3 [contents]
2010 – 2019
- 2019
- [c5]Jad Kabbara:
Computational Investigations of Pragmatic Effects in Natural Language. NAACL-HLT (Student Research Workshop) 2019: 71-76 - 2018
- [c4]Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung:
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. ACL (1) 2018: 2747-2755 - [i1]Andre Cianflone, Yulan Feng, Jad Kabbara, Jackie Chi Kit Cheung:
Let's do it "again": A First Computational Approach to Detecting Adverbial Presupposition Triggers. CoRR abs/1806.04262 (2018) - 2017
- [c3]Ardavan Salehi Nobandegani, Jad Kabbara, Ioannis N. Psaromiligkos:
Relevance effect: Exploiting Bayesian networks to improve supervised learning. IJCNN 2017: 2887-2893 - 2016
- [j1]Jad Kabbara, Ioannis N. Psaromiligkos:
Kernel subspace pursuit for sparse regression. Pattern Recognit. Lett. 69: 56-61 (2016) - [c2]Jad Kabbara, Yulan Feng, Jackie Chi Kit Cheung:
Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs. COLING 2016: 2625-2634 - 2014
- [c1]Jad Kabbara, Ioannis N. Psaromiligkos:
Improving the tracking ability of KRLS using Kernel Subspace Pursuit. ICASSP 2014: 4543-4547
Coauthor Index
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last updated on 2024-11-15 19:34 CET by the dblp team
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